What's the difference between Spot GPUs and reserved GPUs?

Spot and reserved GPUs offer cost-effective alternatives to on-demand pricing with distinct advantages suited to different needs. Spot GPUs are the least expensive, utilizing unused cloud capacity at the risk of interruptions, making them suitable for fault-tolerant workloads like batch processing and hyperparameter tuning that can resume after disruptions. In contrast, reserved GPUs provide guaranteed availability and predictable pricing for a fixed term, ideal for continuous and predictable workloads such as production inference and model training. Northflank facilitates the deployment and management of GPU workloads by integrating GPU compute with necessary infrastructure components like databases and inference services, supporting more than 18 GPU types without long-term commitments. The platform allows both spot and reserved GPUs to be strategically combined, optimizing cost savings and ensuring reliability based on workload characteristics.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.